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The advent of blockchain technology has revolutionized Internet-of-Thing (IoT) systems offering immutable and transparent ledger mechanisms. However, this transformative technology has also brought significant challenges related to user privacy. Though the existing solutions offer various privacy enrichment in blockchain systems through cryptographic methods, the problems of deanonymization (the issue of revealing users' identities) and linkability of transactions still persist. Furthermore, recent reported news also shows privacy leakages in blockchain systems. Thus, we require a comprehensive privacy-assured blockchain framework to address the above-mentioned problems. In this paper, we introduce a novel privacy-preserving framework for blockchain transactions along with private information retrieval (PIR) to combat the above-mentioned privacy issues in blockchains. We call our proposed approach "PRIvacy-ensured framework for Blockchain trANsactions with pIr (PRIBANI)". PRIBANI uses randomizing ring signatures, Public key Encryption-based Keyword Search (PEKS), and PIR techniques to protect the privacy of the user and the history of the transaction data. We run a set of experiments on our proposed PRIBANI to evaluate the privacy attainment of the framework based on user anonymity, transaction anonymity, and unlinkability. We also compare PRIBANI with state-of-the-art models and show that PRIBANI gives a better throughput with an average of 56 transactions per second (TPS) and incurs low latency which is approximately 5% less than the existing schemes and an average communication overhead of 3.2 kilobytes (kbytes). Overall, PRIBANI is efficient in executing privacy-ensured blockchain transactions. [ABSTRACT FROM AUTHOR]

Wireless Multimedia Sensor Network (WMSN) is a network of interconnected sensor nodes equipped with multimedia devices capable to retrieve multimedia as well as scalar sensor data in smart city scenarios. With the progress of smart city development, WMSNs are becoming points of interest. The existing research works on the security of WMSNs show some significant centralized solutions; they are prone to denial of service attacks, central failure, and privacy breaches. Also, these solution are having limitations because of their centralized nature.Therefore, the the proposed scheme adopted the concept of decentralization to achieve more effective and ubiquitous results. As per our best knowledge, we introduce the first decentralized privacy-preserving authentication framework for WMSNs to address the energy and storage challenges. We call our solution PRIvacy-preserving Blockchain-based Authentication for multimeDIa networks (PRIBADI). PRIBADI uses a blockchain framework for authenticated communication between sensor nodes and base stations (as a trusted authority) by using certification and access authentication schemes. We elect trustworthy cluster heads based on weight metrics and these cluster heads forward the information to the Trusted Authority (TA). Subsequently, TA forward large data to the cloud for storage, and the information relevant to certificates and hashes are recorded on the distributed blockchain. Moreover, TA revokes the certificates of malicious sensor nodes and eliminates them from the blockchain. We run a set of experiments on PRIBADI and compare the results with the state-of-the-art models. We use the evaluation criteria of detection accuracy, operation, and energy consumption. We find that PRIBADI is 31.7% better than the existing models. [ABSTRACT FROM AUTHOR]

Industrial applications and automation controls are closely connected with heterogeneous Wireless Sensor Network (WSN); thus, Industrial Internet-of Thing (IIoT) enhances the productivity, scalability, and flexibility of the operations. However, in many cases such as tracking a device or service localization becomes very crucial to state back the operations at times. Existing literature show a various localization solutions, but they face the drawbacks of high energy consumption, and non-coherence in heterogeneity. Besides, in a WSN-based IIoT, non-cooperativeness exists among nodes due to various system and environmental parameters, which make the system resource-exhaustive. In this paper, we introduce a novel localization algorithm that addresses the above-mentioned problems. We call our proposed algorithm RAnge-free Power efficient COoperative Localization (RAPCOL). Specifically, the use of co-operative beacon nodes to broadcast the information to Base Station and low energy consumption highlights the novelty of the work. RAPCOL uses weight metrics for selecting optimal cooperative beacon nodes to prolong the network lifetime. We also introduce an Improvised Particle Swarm Optimization (IPSO) that credits in the contribution in RAPCOL. We run a overall nine sets of experiments to analyze the localization accuracy, effect of beacon nodes, sensor nodes, network connectivity, and sensing field, error frequency, residual energy, time, and network lifetime. A comparative study with the existing localization models shows that RAPCOL is 30 % better than the existing models in terms of accuracy and resource consumption. We observe stable performance of RAPCOL with a differentiated effect of beacon nodes and sensor nodes. We also observe that our proposed IPSO 20 % better in fast convergence to the optimal solution. Though RAPCOL localization time is 12 % higher than other existing protocols, RAPCOL's accuracy and energy saving mechanism make it efficient for IIoTs. [ABSTRACT FROM AUTHOR]